Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.

Atitey K, Hughes CE, Fusco JC

Open source

DOI
10.1016/j.csbj.2025.10.046
Published
2025
Container
Computational and structural biotechnology journal
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.csbj.2025.10.046,
  title = {Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.},
  author = {Atitey K and Hughes CE and Fusco JC},
  year = {2025},
  journal = {Computational and structural biotechnology journal},
  doi = {10.1016/j.csbj.2025.10.046},
  url = {https://doi.org/10.1016/j.csbj.2025.10.046}
}

RIS

TY  - JOUR
TI  - Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.
AU  - Atitey K
AU  - Hughes CE
AU  - Fusco JC
PY  - 2025
JO  - Computational and structural biotechnology journal
DO  - 10.1016/j.csbj.2025.10.046
UR  - https://doi.org/10.1016/j.csbj.2025.10.046
ER  - 

APA

K, A., CE, H., & JC, F. (2025). Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.. Computational and structural biotechnology journal. https://doi.org/10.1016/j.csbj.2025.10.046

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